Other Virtual Imaging

import pyxem as pxm
import hyperspy.api as hs

vectors = pxm.utils.virtual_images_utils.get_vectors_mesh(
    10, 10, 40, angle=0.0, shear=0.0
)
rois, labels = pxm.signals.DiffractionVectors2D(vectors).to_roi(
    radius=4, include_labels=True
)
c = pxm.data.dummy_data.get_cbed_signal()
c.calibrate(center=None)
c.plot()
for r in rois:
    r.add_widget(c, axes=(2, 3))
c.add_marker(labels)

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/home/docs/checkouts/readthedocs.org/user_builds/pyxem/envs/latest/lib/python3.10/site-packages/pyxem/utils/virtual_images_utils.py:47: VisibleDeprecationWarning: Function `get_vectors_mesh()` is deprecated and will be removed in version 1.0.0. Use `utils.vectors.get_vector_mesh()` instead.
  since="0.18.0", removal="1.0.0", alternative="utils.vectors.get_vector_mesh"

vdfs = c.get_virtual_image(rois)

vdfs.plot()

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# We can also use multiple different ROIs and combine them into a virtual image.

r1 = hs.roi.RectangularROI(-35, -35, 35, 35)
c1 = hs.roi.CircleROI(cx=25.5, cy=24.5, r=7, r_inner=0)
c2 = hs.roi.CircleROI(cx=0, cy=0, r=30.5, r_inner=10.0)

c.plot()
for r in [r1, c1, c2]:
    r.add_widget(c, axes=(2, 3))

vdfs = c.get_virtual_image([r1, c1, c2])

vdfs.plot()

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